CN110650042A - Power communication network health evaluation method and terminal equipment - Google Patents

Abstract

The invention is applicable to the technical field of electric power communication, and provides an electric power communication network health degree evaluation method and terminal equipment. The method includes: acquiring a plurality of key evaluation indicators corresponding to a first service, and establishing a first A health evaluation model for services; wherein the first service is any one of multiple services; network quality monitoring data corresponding to the first service is obtained, and the health evaluation value corresponding to the first service is determined according to the network quality monitoring data ; and determining the health degree level of the first service according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service. For different services with large differences in the power communication network, the key evaluation indicators with high correlation with the corresponding services are selected for health evaluation, and the health evaluation of the power communication network is performed by business, which has higher accuracy.

Description

Power communication network health evaluation method and terminal equipment

technical field

The invention belongs to the technical field of electric power communication, and in particular relates to a health degree evaluation method and terminal equipment of an electric power communication network.

Background technique

The electric power communication network is a communication service network with the characteristics of the electric power industry, which came into being in order to ensure the safe and stable operation of the power system. In terms of the terminal access network of the power communication network, there are various types of power distribution and consumption services, and the demand is quite different. In order to support more services and expand the scale of communication, how to effectively know the operation status of the power communication network and the health of the power communication network Therefore, it becomes a key issue to assist the operation, maintenance and management of the power communication network.

The prior art usually only examines a single indicator of the power communication network. However, due to the large differences between various services in the power communication network, the accuracy of using a single index to evaluate the power communication network is poor.

SUMMARY OF THE INVENTION

In view of this, the embodiments of the present invention provide a method and terminal device for evaluating the health degree of a power communication network, so as to solve the problem of using a single index to evaluate the power communication network in the prior art due to the large differences between services in the power communication network. Problems with poor accuracy.

A first aspect of the embodiments of the present invention provides a method for evaluating the health degree of a power communication network. The power communication network includes a variety of services, and the method for evaluating the health degree of the power communication network includes:

Obtaining multiple key evaluation indicators corresponding to the first service, and establishing a health evaluation model of the first service according to the multiple key evaluation indicators; wherein the first service is any one of multiple services;

acquiring network quality monitoring data corresponding to the first service, and determining a health evaluation value corresponding to the first service according to the network quality monitoring data; and

The health degree level of the first service is determined according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service.

A second aspect of the embodiments of the present invention provides a terminal device, including: a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, Steps of a method for evaluating the health degree of an electric power communication network on the one hand.

A third aspect of the embodiments of the present invention provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the health degree of the power communication network according to the first aspect of the embodiment of the present invention is implemented Steps in the evaluation method.

The embodiment of the present invention evaluates each service in the power communication network separately. First, corresponding to each service, the key evaluation index of the service is selected, a health evaluation model is established, and then the health degree of the service is determined according to the network quality monitoring data. The evaluation value is obtained, and finally the health degree level of the service is obtained according to the health degree evaluation value of the service and the health degree evaluation model. For different services with large differences in the power communication network, the corresponding key evaluation indicators are selected to evaluate the health degree, and the health degree evaluation of the power communication network by business is more accurate.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only for the present invention. In some embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

FIG. 1 is a schematic flowchart of the implementation of a method for evaluating the health degree of a power communication network provided by an embodiment of the present invention;

2 is a schematic diagram of a network testing method provided by an embodiment of the present invention;

FIG. 3 provides an improved radar chart according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of a terminal device provided by an embodiment of the present invention.

Detailed ways

In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are set forth in order to provide a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

In order to illustrate the technical solutions of the present invention, the following specific embodiments are used for description.

Referring to FIG. 1, an embodiment of the present invention provides a method for evaluating the health degree of a power communication network. The power communication network includes a variety of services, and the method for evaluating the health degree of the power communication network includes:

Step S101: Acquire multiple key evaluation indicators corresponding to the first service, and establish a health evaluation model of the first service according to the multiple key evaluation indicators; wherein the first service is any one of multiple services.

There are many types of power communication network services. Due to the large differences between different types of services, some services need to meet the requirements of low delay and high bandwidth; some services need to meet the requirements of high bandwidth, but the requirements for delay are not prominent. For example, scheduling data services in the future requires high bandwidth but low latency. At present, the evaluation indicators of service quality of power communication network mainly include evaluation indicators such as bandwidth, delay, packet loss rate, and jitter. Since different services have different requirements for evaluation indicators, the health degree evaluation of the power communication network is carried out for different services.

Acquire multiple key evaluation indicators of any one of multiple services, and establish a health evaluation model of the service according to the multiple key evaluation indicators. The above-mentioned multiple key evaluation indicators are relatively key evaluation indicators that have a greater impact on the business, and a health evaluation model for the business is established according to the multiple key evaluation indicators.

In some embodiments, step S101 may include:

Obtain the preset grade evaluation criteria of each key evaluation index and the weight of each key evaluation index;

According to the preset grade evaluation standard of each key evaluation index and the weight of each key evaluation index, the improved radar chart method is used to determine the health degree evaluation model of the first business.

First, the grade standard of each key evaluation index and the weight of each key evaluation index are obtained. Since each service has different requirements for evaluation indicators such as delay and packet loss rate, the level evaluation range of each key evaluation index is also different, that is, the level standards are different. According to the actual situation, the health degree can be divided into several grades, for example, the health degree grade is divided into 3 grades, and the grade evaluation standard corresponding to each key evaluation index is obtained respectively, refer to Table 1.

Table 1 Key evaluation index grade evaluation standard table

grade Key Evaluation Indicators 1 Key Evaluation Indicator 2 Key Evaluation Indicator 3 Health evaluation grade standard 1 0-0.5 0-0.3 0-0.65 0-0.58 2 0.5-0.8 0.3-0.8 0.65-0.7 0.58-0.73 3 0.8-1 0.8-1 0.7-1 0.73-1

The preset level evaluation standard of each key evaluation index corresponds to a level upper limit index value and a level lower limit index value at each level, for example, the level upper limit index value of level 1 of evaluation index 1 is 0.5, and the level lower limit index value is 0.

Corresponding to a level, according to the lower limit index value of each key evaluation index and the weight of each key evaluation index, the improved radar chart method is used to calculate the lower limit index value of the health degree evaluation level standard corresponding to this level. Correspondingly, according to the level upper limit index value of each key evaluation index and the weight of each key evaluation index, the improved radar chart method is used to calculate the upper limit index value of the health degree evaluation level standard corresponding to the level.

The upper limit index value and the lower limit index value of the health degree evaluation level standard corresponding to each level are calculated respectively, and the health degree evaluation model of the first service is obtained.

Wherein, the method for obtaining the weight of each key evaluation index may be the same as the specific determination method of "determining the weight of each key evaluation index" described below.

In some embodiments, when the upper-level index value and the lower-level index value in the level-evaluation standard are values greater than 1, the above-mentioned upper-level index value and lower-level index value are normalized.

Step S102: Obtain network quality monitoring data corresponding to the first service, and determine a health degree evaluation value corresponding to the first service according to the network quality monitoring data.

The network quality monitoring data may reflect the index value of each key evaluation index corresponding to the first service.

In some embodiments, acquiring network quality monitoring data corresponding to the first service may include:

generating a network quality test case corresponding to the first service;

According to the network quality test example, use hardware probes to send detection packets to the power communication network;

Receive network quality monitoring data corresponding to the first service returned by the power communication network.

Different services in the power communication network have different requirements for testing. The network quality of some important channels can be tested using UDP jitter (NQA, an important network performance detection method in the Network Quality Analyzer network quality analysis system). Some important services carried by the channel are carried by TCP (Transmission Control Protocol), and the TCP test case can be used. According to the needs of different services, different test cases can be used to test the power communication network to obtain network quality monitoring data. At the same time, some business tests are rich in content, and some businesses only need to test less indicators. Therefore, differentiated test cases can be used for testing different services to avoid insufficient or excessive test cases for different services caused by the use of the same test cases. many questions.

According to the network quality test example, the detection message can be sent to the power communication network by means of a hardware probe. Referring to Figure 2, compared to software probes, hardware probes not only support UDP jitter test cases, TCP test cases, and ICMP test cases, but also relatively simple to deploy and maintain. At the same time, the detection packet is sent by means of a hardware probe. The detection packet directly assembles the Layer 3 packet and stamps it with a timestamp, and sends the packet directly through the Layer 2 interface. At the same time, the highest priority can be set to ensure that the detection packet can be sent first. When a packet is received at Layer 2, a receiving timestamp is added to the packet, which makes the hardware probe test more accurate. The software probe sends and receives packets at Layer 3 and above, and the priority cannot be set. During the test, the packets will be encapsulated. ARP (Address Resolution Protocol, is a TCP/IP address that obtains physical addresses based on IP addresses). IP protocol) requests, etc. are all counted in the delay, and the test accuracy is poorer than the hardware probe method.

In some embodiments, determining the health evaluation value corresponding to the first service according to the network quality monitoring data may include:

Determine the index value of each key evaluation index according to the network quality monitoring data;

Determine the weight of each key evaluation indicator;

According to the index value of each key evaluation index and the weight of each key evaluation index, the health degree evaluation value corresponding to the first service is determined.

The network quality monitoring data can reflect the index value of each key evaluation index corresponding to a certain service. For example, if the network quality monitoring data includes the delay time, it can reflect the index value of the delay in the evaluation index. Determine the index value of each key evaluation index. The weight of each key evaluation index can be determined by, for example, an expert scoring method. The weight represents the importance of the key evaluation index to the corresponding business. According to the index value of each key evaluation index and the weight of each key evaluation index, the comprehensive index value of the corresponding business can be obtained, that is, the health degree evaluation value.

Then, according to the index value of each key evaluation index and the weight of each key evaluation index, the health degree evaluation value corresponding to the corresponding business is determined.

In some embodiments, determining the weight of each key evaluation index may include:

obtaining an initial weight matrix corresponding to the first service, where the initial weight matrix includes a plurality of initial weights corresponding to each key evaluation index;

Determine the average weight corresponding to each key evaluation index according to the multiple initial weights corresponding to each key evaluation index;

Determine the weight offsets of the multiple initial weights corresponding to each key evaluation index according to the average weight corresponding to each key evaluation index and the multiple initial weights corresponding to each key evaluation index respectively;

Determine the intermediate weight of each key evaluation index according to the weight offsets of the multiple initial weights corresponding to each key evaluation index and the multiple initial weights corresponding to each key evaluation index respectively;

The weight of each key evaluation index is obtained by normalizing the intermediate weight of each key evaluation index.

计算第j项关键评价指标的平均权重

计算得到各个关键评价指标分别对应的各个初始权重的权重偏移量

然后根据各个关键评价指标分别对应的多个初始权重的权重偏移量

及各个关键评价指标分别对应的多个初始权重q_ij，确定各个关键评价指标的中间权重p_j。最后对各个关键评价指标的中间权重p_j进行归一化处理得到各个关键评价指标的权重P_j，

For the first business, set i survey objects (i=1,2,...m, where m is the number of survey objects), and obtain the weights q _ij (j=1,2 ,...n, where n is the number of evaluation indicators) to form an initial weight matrix Q=(q _ij ) _m×n corresponding to the first service. The multiple initial weights corresponding to the respective key evaluation indicators are the weights of the multiple survey objects corresponding to the respective key evaluation indicators. In some embodiments, the weights of multiple survey objects corresponding to each key evaluation index may be determined according to expert opinions and user requirements, that is, the initial weight matrix Q=(q _ij ) _m×n . in,

Calculate the average weight of the jth key evaluation index

Calculate the weight offset of each initial weight corresponding to each key evaluation index

Then according to the weight offsets of multiple initial weights corresponding to each key evaluation index

and a plurality of initial weights q _ij corresponding to each key evaluation index respectively, and determine the intermediate weight p _j of each key evaluation index. Finally, the intermediate weight p _j of each key evaluation index is normalized to obtain the weight P _j of each key evaluation index,

In some embodiments, determining the intermediate weight of each key evaluation index according to the weight offsets of the multiple initial weights corresponding to each key evaluation index and the multiple initial weights corresponding to each key evaluation index, may include:

The intermediate weight p _j of the jth key evaluation index is:

Among them, the initial weight matrix Q=(q _ij ) _m×n , q _ij is the i-th initial weight of the j-th evaluation index, i=1, 2,...m, m is the number of multiple initial weights; j= 1,2,…n, n is the number of key evaluation indicators, is the weight offset of q _ij , and p _ij is the transfer weight.

In some embodiments, according to the index value of each key evaluation index and the weight of each key evaluation index, determining the health degree evaluation value corresponding to the first service may include:

Normalize the index value of each key evaluation index to obtain the normalized index value of each key evaluation index;

Draw an improved radar chart according to the normalized index value of each key evaluation index and the weight of each key evaluation index;

The health degree evaluation value corresponding to the first service is determined according to the improved radar chart.

Referring to FIG. 3 , the improved radar chart is a unit circle. Therefore, the index value of each key evaluation index is first normalized to obtain the normalized index value of each key evaluation index. For example, corresponding to the first business, the index value of each key evaluation index is x _j , and the normalized index value of each key evaluation index is x _j '=(x _j -x _min )/(x _max -x _min ), where, x _max is the maximum value among the index values of each key evaluation index, and x _min is the minimum value among the index values of each key evaluation index.

According to the weight value P _j of each key evaluation index, the unit circle is divided into regions to obtain a plurality of fan-shaped regions, and the angle corresponding to the central angle of the circle is:

θ _j = 2πP _j

Among them, θ _j is the central angle of the sector area corresponding to the j-th key evaluation index, and P _j is the weight of the j-th key evaluation index.

For each fan-shaped area, take the center of the circle as the starting point, take the normalized index value x _j ' of the key evaluation index corresponding to the fan-shaped area as the length, and draw a straight line along one-half of the central angle corresponding to the fan-shaped area, such as OA1, draw Get an improved radar chart. The health degree evaluation value corresponding to the first service is determined according to the improved radar chart.

Step S103: Determine the health degree level of the first service according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service.

The health degree evaluation model includes the upper limit index value and the lower limit index value of the health degree evaluation level standard corresponding to each level. It is determined that the health degree evaluation value corresponding to the first service is located between the upper limit index value and the lower limit index value of the health degree evaluation grade standard corresponding to which level, and the level is the health degree level of the first service.

In some embodiments, step S104 may be further included before step S102:

Step S104: Establish a network quality model corresponding to the first service according to the network quality requirement of the first service, and determine a plurality of key evaluation indicators corresponding to the first service according to the network quality model.

Since each evaluation index of the power communication network contributes to the quality of each service differently, it is necessary to establish a network quality model according to the network quality requirements of the corresponding service. For example, the commonly used evaluation indicators in the power communication network include: delay, bandwidth and packet loss rate and other indicators, and the priority of each evaluation indicator is determined according to the demand characteristics of different services. The delay requirement is less than 100ms, and the priority is lower. For the stability management information system, the delay requirement is less than 30ms, and the priority is higher, and the modeling of the network quality model is completed. The priority of each evaluation index can be intuitively understood through the network quality model, so that the evaluation index with higher corresponding business priority can be selected as the key evaluation index.

The embodiment of the present invention provides a method for evaluating the health degree of a power communication network. Each service in the power communication network is evaluated separately. First, the key evaluation indicators of the service are selected corresponding to each service, and a health degree evaluation model is established. The health degree evaluation value of the service is determined according to the network quality monitoring data, and finally the health degree level of the service is obtained according to the health degree evaluation value of the service and the health degree evaluation model. Corresponding to different services with large differences in the power communication network, the corresponding key evaluation indicators are respectively selected to evaluate the health degree, and the health degree evaluation of the power communication network by business is more accurate. Through the above method, according to the network quality monitoring data, it can be intuitively judged that the current electric power communication network operates on a certain service quality, so as to quickly take targeted measures to improve the network quality of the electric power communication network. For example, when the health level corresponding to a service in the power communication network has been in a low state for a certain period of time, the corresponding network transformation is carried out for this service, thereby fundamentally improving the health status of the power communication network for this service for a long time. .

It should be understood that the size of the sequence numbers of the steps in the above embodiments does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

Corresponding to the method for evaluating the health degree of a power communication network in the above embodiment, an embodiment of the present invention provides an apparatus for evaluating the health degree of a power communication network, including:

The evaluation model establishment module is used to obtain a plurality of key evaluation indicators corresponding to the first business, and establish a health evaluation model of the first business according to the plurality of key evaluation indicators; wherein the first business is any one of a variety of businesses business;

an evaluation value determination module, configured to obtain the network quality monitoring data corresponding to the first service, and determine the health degree evaluation value corresponding to the first service according to the network quality monitoring data; and

The health degree level determination module is configured to determine the health degree level of the first service according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service.

In some embodiments, the apparatus for evaluating the health of the power communication network may further include:

The key indicator screening module is configured to establish a network quality model corresponding to the first service according to the network quality requirements of the first service, and determine a plurality of key evaluation indicators corresponding to the first service according to the network quality model.

In some embodiments, the evaluation model building module may include:

A parameter obtaining unit, used for obtaining the preset grade evaluation standard of each key evaluation index and the weight of each key evaluation index;

The model determining unit is used for determining the health evaluation model of the first business by using the improved radar chart method according to the preset grade evaluation criteria of each key evaluation index and the weight of each key evaluation index.

In some embodiments, the evaluation value determination module may include:

a test case generation unit, configured to generate a network quality test case corresponding to the first service;

The detection packet sending unit is used to send detection packets to the electric power communication network by means of hardware probes according to the network quality test example;

The data receiving unit is configured to receive the network quality monitoring data corresponding to the first service returned by the power communication network.

In some embodiments, the evaluation value determination module may further include:

an index value determination unit, used for determining the index value of each key evaluation index according to the network quality monitoring data;

The weight determination unit is used to determine the weight of each key evaluation index;

The health degree evaluation value determining unit is configured to determine the health degree evaluation value corresponding to the first service according to the index value of each key evaluation index and the weight of each key evaluation index.

In some embodiments, the health degree evaluation value determination unit may include:

The normalization subunit is used to normalize the index value of each key evaluation index to obtain the normalized index value of each key evaluation index;

The radar chart drawing subunit is used to draw an improved radar chart according to the normalized index value of each key evaluation index and the weight of each key evaluation index;

The evaluation value determination subunit is used for determining the health degree evaluation value corresponding to the first service according to the improved radar chart.

In some embodiments, the weight determination unit may include:

The initial weight matrix obtaining subunit is used to obtain the initial weight matrix corresponding to the first service, and the initial weight matrix includes a plurality of initial weights corresponding to each key evaluation index;

The average weight determination subunit is used to determine the average weight corresponding to each key evaluation index according to the multiple initial weights corresponding to each key evaluation index;

The weight offset determination subunit determines the weight offset of each initial weight corresponding to each key evaluation index according to the average weight corresponding to each key evaluation index and a plurality of initial weights corresponding to each key evaluation index respectively;

The intermediate weight determination subunit is used to determine the intermediate weight of each key evaluation index according to the weight offset of each initial weight corresponding to each key evaluation index and a plurality of initial weights corresponding to each key evaluation index respectively;

The weight determination sub-unit is used for normalizing the intermediate weight of each key evaluation index to obtain the weight of each key evaluation index.

In some embodiments, the intermediate weight p _j of the jth key evaluation index is:

为q_ij的权重偏移量，p_ij为传递权重。Among them, the initial weight matrix Q=(q _ij ) _m×n , q _ij is the i-th initial weight of the j-th evaluation index, i=1, 2,...m, m is the number of multiple initial weights; j= 1,2,…n, n is the number of key evaluation indicators,

is the weight offset of q _ij , and p _ij is the transfer weight.

FIG. 4 is a schematic diagram of a terminal device provided by an embodiment of the present invention. As shown in FIG. 4 , the terminal device 400 of this embodiment includes: a processor 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the processor 401, such as a program of a method for evaluating the health of a power communication network . When the processor 401 executes the computer program 403, it implements the steps in the above-mentioned embodiment of the method for evaluating the health degree of a power communication network, for example, steps S101 to S103 shown in FIG. function of each module.

Exemplarily, the computer program 403 may be divided into one or more program modules, and the one or more program modules are stored in the memory 402 and executed by the processor 401 to accomplish the present invention. One or more program modules may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program 403 in the power communication network health evaluation apparatus or the terminal device 400 . For example, the computer program 403 can be divided into an evaluation model establishment module, an evaluation value determination module and a health degree level determination module, and the specific functions of each module will not be repeated here.

The terminal device 400 may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server. The terminal device 400 may include, but is not limited to, a processor 401 and a memory 402 . Those skilled in the art can understand that FIG. 4 is only an example of the terminal device 400 , and does not constitute a limitation on the terminal device 400 , and may include more or less components than shown, or combine some components, or different components For example, the terminal device may also include an input and output device, a network access device, a bus, and the like.

The so-called processor 401 may be a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), Off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 402 may be an internal storage unit of the terminal device 400 , such as a hard disk or a memory of the terminal device 400 . The memory 402 may also be an external storage device of the terminal device 400, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a Secure Digital (SD) card, a flash memory card (Flash Card) equipped on the terminal device 400. )Wait. Further, the memory 402 may also include both an internal storage unit of the terminal device 400 and an external storage device. The memory 402 is used to store computer programs and other programs and data required by the terminal device 400 . The memory 402 may also be used to temporarily store data that has been or will be output.

Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. Module completion means dividing the internal structure of the device into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated in one processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit, and the above-mentioned integrated units may adopt hardware. It can also be realized in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present application. For the specific working processes of the units and modules in the above-mentioned system, reference may be made to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

In the foregoing embodiments, the description of each embodiment has its own emphasis. For parts that are not described or described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of the present invention.

In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components. May be combined or may be integrated into another system, or some features may be omitted, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

Units described as separate components may or may not be physically separated, and components shown as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program is in When executed by the processor, the steps of the foregoing method embodiments can be implemented. . Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate forms, and the like. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access Memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in computer-readable media may be appropriately increased or decreased in accordance with the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include Electrical carrier signals and telecommunication signals.

The above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The recorded technical solutions are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the present invention. within the scope of protection.

Claims (10)

1. A method for evaluating the health degree of an electric power communication network, wherein the electric power communication network includes multiple services, and the method for evaluating the health degree of the electric power communication network comprises: Acquire multiple key evaluation indicators corresponding to the first service, and establish a health evaluation model of the first service according to the multiple key evaluation indicators; wherein the first service is any one of the multiple services ; acquiring network quality monitoring data corresponding to the first service, and determining a health evaluation value corresponding to the first service according to the network quality monitoring data; and The health degree level of the first service is determined according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service. 2. The method for evaluating the health degree of a power communication network according to claim 1, wherein before the acquiring a plurality of key evaluation indicators corresponding to the first service, the method further comprises: A network quality model corresponding to the first service is established according to the network quality requirements of the first service, and multiple key evaluation indicators corresponding to the first service are determined according to the network quality model. 3. The method for evaluating the health degree of a power communication network according to claim 1, wherein the determining the health degree evaluation value corresponding to the first service according to the network quality monitoring data comprises: Determine the index value of each key evaluation index according to the network quality monitoring data; Determine the weight of each key evaluation indicator; According to the index value of each key evaluation index and the weight of each key evaluation index, the health degree evaluation value corresponding to the first service is determined. 4 . The method for evaluating the health degree of a power communication network according to claim 3 , wherein, according to the index value of each key evaluation index and the weight of each key evaluation index, the corresponding first service is determined. 5 . The health evaluation value of , including: Performing normalization processing on the index value of each key evaluation index to obtain the normalized index value of each key evaluation index; Drawing an improved radar chart according to the normalized index value of each key evaluation index and the weight of each key evaluation index; The health evaluation value corresponding to the first service is determined according to the improved radar chart. 5. The power communication network health degree evaluation method according to claim 3, wherein the determining the weight of each key evaluation index comprises: obtaining an initial weight matrix corresponding to the first service, where the initial weight matrix includes a plurality of initial weights corresponding to each key evaluation index; Determine the average weights corresponding to the respective key evaluation indicators according to the respective initial weights corresponding to the respective key evaluation indicators; Determine the weight offset of each initial weight corresponding to each key evaluation index according to the average weight corresponding to each key evaluation index and a plurality of initial weights corresponding to each key evaluation index respectively; Determine the intermediate weight of each key evaluation index according to the weight offset of each initial weight corresponding to each key evaluation index and a plurality of initial weights corresponding to each key evaluation index respectively; The weight of each key evaluation index is obtained by normalizing the intermediate weight of each key evaluation index. 6 . The health degree evaluation method of a power communication network according to claim 5 , wherein the weight offset of each initial weight corresponding to each key evaluation index and the corresponding key evaluation index respectively multiple initial weights to determine the intermediate weights of each key evaluation indicator, including: The intermediate weight p _j of the jth key evaluation index is:

Among them, the initial weight matrix Q=(q _ij ) _m×n , q _ij is the i-th initial weight of the j-th evaluation index, i=1, 2,...m, m is the number of multiple initial weights; j= 1,2,…n, n is the number of key evaluation indicators,

is the weight offset of q _ij , and p _ij is the transfer weight. 7. The method for evaluating the health degree of a power communication network according to claim 1, wherein the acquiring the network quality monitoring data corresponding to the first service comprises: generating a network quality test example corresponding to the first service; According to the network quality test example, a detection message is sent to the power communication network by means of a hardware probe; Receive network quality monitoring data corresponding to the first service returned by the power communication network. 8. The power communication network health degree evaluation method according to any one of claims 1 to 7, wherein the establishing a health degree evaluation model of the first service according to the plurality of key evaluation indicators comprises: Obtain the preset grade evaluation criteria of each key evaluation index and the weight of each key evaluation index; According to the preset grade evaluation standard of each key evaluation index and the weight of each key evaluation index, an improved radar chart method is used to determine the health degree evaluation model of the first service. 9. A terminal device, comprising a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor implements the computer program as claimed in the claims when executing the computer program Steps of the method for evaluating the health degree of a power communication network according to any one of 1 to 8. 10. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the power communication according to any one of claims 1 to 8 is implemented The steps of the network health evaluation method.

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